Current Architectural and Developmental Approaches in Artificial Intelligence Models for Prostate Cancer Detection and Management: A Technical Report.

Prostate cancer is a prevalent malignancy among men and remains a major cause of cancer-related mortality. The increasing incidence of cases underscores the need for advancements in diagnostic methodologies. Artificial intelligence (AI) is emerging as a transformative tool in addressing challenges in prostate cancer diagnostics, particularly in the analysis of histopathological whole-slide images and the refinement of algorithmic Gleason grading.

Genome-Wide and Rare Variant Association Studies of Amblyopia in the All of Us Research Program.

Purpose: Amblyopia is characterized by decreased visual acuity due to abnormal visual experience during development. It affects approximately 3% of the population and is associated with abnormal development of the visual cortex. Despite treatment, many patients have residual visual acuity deficits.

Binding of active Ras and its mutants to the Ras binding domain of PI-3-kinase: A quantitative approach to K measurements.

Ras family GTPases (H/K/N-Ras) modulate numerous effectors, including the lipid kinase PI3K (phosphatidylinositol-3-kinase) that generates growth signal lipid PIP (phosphatidylinositol-3,4,5-triphosphate). Active GTP-Ras binds PI3K with high affinity, thereby stimulating PIP production. We hypothesize the affinity of this binding interaction could be significantly increased or decreased by Ras mutations at PI3K contact positions, with clinical implications since some Ras mutations at PI3K contact positions are disease-linked.